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A Novel Technique for Edge Detection Using Gabor Transform and K-Means with FCM Algorithms

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Emerging Trends in Electrical, Communications and Information Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 394))

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Abstract

In this paper, a technique has been proposed for detecting edge in medical images throughput from computed tomography and magnetic resonance imaging devices. The proposed technique is Gabor wavelet transform along with two clustering methods i.e. Fuzzy c-means with k-means which is used to adorn the edge information while suppressing noise.

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Correspondence to D. Maruthi Kumar .

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© 2017 Springer Science+Business Media Singapore

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Maruthi Kumar, D., Prashanth, K., Peruru, P.K., Charishma Kumar Reddy, P. (2017). A Novel Technique for Edge Detection Using Gabor Transform and K-Means with FCM Algorithms. In: Attele, K., Kumar, A., Sankar, V., Rao, N., Sarma, T. (eds) Emerging Trends in Electrical, Communications and Information Technologies. Lecture Notes in Electrical Engineering, vol 394. Springer, Singapore. https://doi.org/10.1007/978-981-10-1540-3_29

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  • DOI: https://doi.org/10.1007/978-981-10-1540-3_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1538-0

  • Online ISBN: 978-981-10-1540-3

  • eBook Packages: EngineeringEngineering (R0)

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